As a complex disease, multiple sclerosis (MS) susceptibility implicates many genetic and environmental factors. Usually, individual genetic association studies have several limitations, and results are specific to the population of study. The Meta-analysis approach has been proposed to resolve these limitations and to increase the power of statistical analyses. In this review, we summarize results from meta-analyses of candidate genes of MS. Using the keywords: multiple sclerosis, genetic polymorphism and meta-analysis, we searched electronic databases (PubMed, Embase and Web of Sciences) for published meta-analyses until May 2017. Meta-analyses confirmed the association of polymorphisms in fifteen candidate genes with MS disease. However, polymorphisms in fourteen genes showed none significant association. Results outlined the importance of confirmed genes to understand signaling pathways in MS disease and shed light on their utility to develop new drugs targets.
Keywords: Genetic association; Meta-analysis; Multiple sclerosis; Single nucleotide polymorphism.
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